A framework for identification of brain tumors from MR images using progressive segmentation

ConclusionsThe study concludes that the proposed Hybrid Watershed –Clustering framework, powered by the PS-RIM algorithm, markedly improves the detection and differentiation of brain tumors in MR images. It exhibits exceptional accuracy, resilience, and computational efficiency. These findings hold substantial potential for advancing computer vision and image an alysis in medical diagnostics, which could improve patient outcomes in managing brain tumors.Graphical abstract
Source: Health and Technology - Category: Information Technology Source Type: research